New paper: differential variability of variables drives network structure

In psychopathological networks, we often model ordinal items (problems or symptoms) that are not normally distributed, especially in general population samples. But if a variable shows a floor effect, meaning that the mean is close to 0, it often has a small variance, which in turn means that the variable …

Bringmann’s dissertation on dynamical networks in psychology

You’ve probably heard about Laura Bringmann: among other things, she developed the multilevel extension of the vector autoregressive network model many of us are using today, and was the first to apply it to psychopathological data (e.g., 1, 2). Laura defended her PhD “Dynamical networks in psychology: More than a …